Hi
Aside from the books and link suggestions, the safest way to start
dealing with open source GIS is to run everything is a VMWare virtual
machine.
In this site you can download a virtual machine image with Ubuntu as OS
and with all the OpenSource software installed and running
(GRASS/Qgis/R/FW
I suggest you also the following pages:
http://cran.r-project.org/web/packages/spgrass6/index.html
http://grass.itc.it/statsgrass/index.php
http://grass.itc.it/statsgrass/grass_geostats.html
A nice plugin from Carson Farmer for QGIS:
http://www.ftools.ca/manageR.html
Giovanni
2008/10/5 E. Anthon
Alex, there are a couple of books that would be worth buying:
Bivand, Roger S., Edzer J. Pebesma, and Virgilio Gómez-Rubio. 2008.
Applied Spatial Data Analysis with R. 1st ed. Springer.
Neteler, Markus, and Helena Mitasova. 2007. Open Source GIS: A GRASS GIS
Approach. 3rd ed. Springer.
best,
Alexandre VILLERS wrote:
>
> Good afternoon,
>
> I started using R because I appreciated all its possibilities and the
> general idea of Public software. Since I'm also getting involved in
> spatial analysis, I would like to start using GRASS (with R) for the
> same reason (fleixibility, updates,
Good afternoon,
I started using R because I appreciated all its possibilities and the
general idea of Public software. Since I'm also getting involved in
spatial analysis, I would like to start using GRASS (with R) for the
same reason (fleixibility, updates, etc.).
I've been using ArcGis for
On Sat, 9 Sep 2006, Tim Keitt wrote:
> Jonathan,
>
> This is what rgdal was designed to do. Here's an example,
>
> ds1 <- GDAL.open("input.tif")
> driver <- new('GDALDriver', 'GTiff')
> ds2 <- new('GDALTransientDataset', driver, nrow(ds1), ncol(ds1), type
> = "Float64")
> for (row in nrow(ds1))
Jonathan,
This is what rgdal was designed to do. Here's an example,
ds1 <- GDAL.open("input.tif")
driver <- new('GDALDriver', 'GTiff')
ds2 <- new('GDALTransientDataset', driver, nrow(ds1), ncol(ds1), type
= "Float64")
for (row in nrow(ds1)) {
x <- getRasterData(ds1, offset = c(row - 1, 0), reg
I was wondering if I could get some brief feedback on exactly what are the
capabilities of the sp and spgrass6 -- say I'd like to use R to calculate
and NDVI image (I know GRASS's mapcalc can do this fine, but I'm thinking of
some more complicated analyses that aren't easily performed in R and I
fi
